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IT Professional, Data Scientist and Python Programmer

kamalu-chioma

  • 🚀 Currently pursuing post-grad in IT @ Humber College, Toronto

  • 🎓 Bachelor's degree in Industrial Mathematics and Computer Science

  • 👨‍💻 Visit my Portfolio Website Here ---(It's like my mini dump tbh)

  • 🗣️ I am Well-versed in numerous programming, scripting languages & libraries including Python, Java, SQL, HTML5, CSS3, XML, MongoDB, PLSQL, NoSQL, Python, Streamlit, Bash scripting, Numpy, Pandas, Keras, Scikitlearn, etc.

Programming Languages and Tools:

arduino git html5 illustrator javascript matlab mysql pandas python scikit_learn seaborn tensorflow




Chioma Kamalu's Projects

100daysofmlcode icon 100daysofmlcode

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

99-ml-learning-projects icon 99-ml-learning-projects

A list of 99 machine learning projects for anyone interested to learn from coding and building projects

codestorm icon codestorm

competitive programming website like geeksforgeeks and hackerrank etc. developed using django framework.

data-science-portfolio icon data-science-portfolio

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

demo icon demo

JupyterLite demo deployed to GitHub Pages 🚀

diabetes_prediction_ icon diabetes_prediction_

This is not a personal project. It's my hands on, mimic of the regular diabetes prediction system

kats icon kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

love-calc icon love-calc

Love calculator built on python Using streamlit; and deployed on Streamlit.io

mlbookcamp-code icon mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

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